Method for improving interpolation position accuracy of cutting bed based on improved BP neural network

A BP neural network and interpolation technology, applied in the direction of instruments, computer control, simulators, etc., can solve the problems of discontinuous feed speed, low precision, fluctuations, etc., achieve good nonlinear approximation ability, fast convergence speed, interpolation Complement the effect of high precision

Active Publication Date: 2019-09-17
ZHEJIANG UNIV OF TECH
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Problems solved by technology

The result of this method is that it is easy to cause discontinuity and fluctuation in the feed speed, and burrs will appear on the edge of the cut fabric
The processing methods currently used ar

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  • Method for improving interpolation position accuracy of cutting bed based on improved BP neural network
  • Method for improving interpolation position accuracy of cutting bed based on improved BP neural network
  • Method for improving interpolation position accuracy of cutting bed based on improved BP neural network

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[0036] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0037] This application provides a method based on the improved BP neural network to improve the interpolation position accuracy of the cutting bed, which can be applied to such as figure 1 The application shown in the numerical control system. Such as figure 1 As shown, the entire numerical control system mainly includes the upper computer and the lower computer. The upper computer generally adopts a PC, and the lower computer is generally a CNC machine tool. The upper computer is mainly responsible for sending the curve trajectory of the product to be processed to the main control unit...

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Abstract

The present invention discloses a method for improving interpolation position accuracy of a cutting bed based on an improved BP neural network. Parameters of a current node are input into a trained BP neural network interpolation model to obtain predicted values of the node parameters output by the BP neural network interpolation model. The predicted values of the node parameters output by the BP neural network interpolation model are substituted into a B-spline curve to obtain a predicted interpolation node. The deviation between the predicted interpolation node and the actual interpolation node and the corresponding feedback compensation output are calculated. The feedback compensation output is compared with an original machining trajectory curve; the node parameters for the next interpolation are optimized and predicted with the Newton path searching method; the predicted node parameters are substituted into the fitted B-spline curve to obtain the actual interpolation node; and the interpolation operation is performed. The method of the invention has the advantages of good nonlinear approximation ability, high interpolation precision and fast convergence speed.

Description

technical field [0001] The present invention relates to the technical field of industrial automation numerical control, and especially designs a method for improving the interpolation position accuracy of a cutting bed based on an improved BP neural network. Aiming at the problem of low interpolation accuracy, a momentum factor is added, and feedback correction is used to improve the BP neural network to improve the cutting accuracy. Bed interpolation position accuracy. Background technique [0002] In recent years, with the introduction of "Industry 4.0" in my country, traditional industries have begun to transform into intelligent industries, and the control objects and control processes of industrial production have become more and more complicated. The requirement of accuracy is getting higher and higher, which makes it difficult for the original control method to meet the requirements. [0003] Interpolation calculation is to input basic data to the CNC system (such as ...

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Application Information

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IPC IPC(8): G05B19/41
CPCG05B19/41G05B2219/34083
Inventor 董辉仲济磊唐文涛周良伟李华昌韩林贝敖文聪吴祥
Owner ZHEJIANG UNIV OF TECH
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